Killing-It-with-PERL

I was writing a data intensive code in Perl relying heavily on PDL for some statistical calculations (estimation of percentile points in some very BIG vectors, e.g. 100k to 1B elements), when I noticed that PDL was taking a very (and unusually long!)

After a very long hiatus due to the triplet of work-vacation-work, we return to Part 3 of my AI assisted coding of a Perl interface to a foreign library.

Of makefiles and alienfiles In the second part of this series, we turn to the chatbot’s output for bringing in the foreign (C) Bit library dependency in Perl using Alien.

Introduction In this multipart series we will explore the benefits (and pitfalls) of vibe coding a Perl interface to an external (or foreign) library through a large language model.

In the second part of this we implement the solution that was outlined at the end of Part 1: utilize a Perl application that probes the operating system in real time for the RSS (Resident Set Size), i.e. the DRAM footprint of an application fire the appli…

Another year, another opportunity for Perl to excel as a system’s language.

VelociPerl is a closed source fork of Perl that claims performance gains of 45% over the stock (“your dad’s Perl” in their parlance) based on some public benchmarks.

Sometimes the unexpected happens and must be shared with the world … this one is such a case.

At this point one may wonder how numba, the Python compiler around numpy Python code, delivers a performance premium over numpy.

Having run this toy performance example, we will now digress somewhat and contrast the performance against a few Python implementations.